Automatic Modulation and Identification Method of Radio Signals Based on RBF Neural Network
Automatic modulation recognition of radio signals has the problem of low accuracy of signal recognition.Therefore,the design of radio signal automatic modulation recognition method based on Radial Basis Function(RBF)neural network.Extract the radio automatic modulation signal features,divide the modulation signal into several signal blocks,and identify the modulation type.Based on the RBF neural network to construct the signal automatic modulation identification model,the RBF as the"base"of the hidden unit,and through the function space of the hidden unit,mapping the modulation signal vector characteristics to the hidden space,through the modulation signal instantaneous angular frequency shift,to determine the type of automatic modulation,to realize the radio signal automatic modulation accurate identification.Comparison experiments are carried out,and the experimental results show that the method has a higher recognition accuracy and can be applied to real life.
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